Evidence map›Paper›PMID 41476445›Full record

ArticleInternational journal of biomedical imaging2025

Mapping Regional Changes in Multiple-Timepoint Hyperpolarized Gas Ventilation Images and Validation by Radiologist Score.

Ummul Afia Shammi, Talissa Altes, Cody Thornburgh, John P Mugler, Craig H Meyer, Kun Qing, X Eduard E de Lange, Jaime Mata, Robert Thomen

Abstract read
In one paragraph

Article in International journal of biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ummul Afia ShammiRichard and Loan Hill Department of Biomedical Engineering, University of Illinois Chicago, Chicago, Illinois, USA, uic.edu.ORCID https://orcid.org/0000-0003-0227-1405
Talissa AltesRadiology, School of Medicine, University of Missouri, Columbia, Missouri, USA, missouri.edu.
Cody ThornburghRadiology, School of Medicine, University of Missouri, Columbia, Missouri, USA, missouri.edu.ORCID https://orcid.org/0009-0007-3869-1811
John P MuglerRadiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, Virginia, USA, virginia.edu.
Craig H MeyerBiomedical Engineering, University of Virginia, Charlottesville, Virginia, USA, virginia.edu.
Kun QingRadiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, Virginia, USA, virginia.edu.
X Eduard E de LangeRadiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, Virginia, USA, virginia.edu.
Jaime MataRadiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, Virginia, USA, virginia.edu.
Robert ThomenRadiology, School of Medicine, University of Missouri, Columbia, Missouri, USA, missouri.edu.ORCID https://orcid.org/0000-0003-3757-5222

Funding

Proton and hyperpolarized xenon pulmonary MRI at 0.55TU01HL178354 · NHLBI · UNIVERSITY OF VIRGINIA · PI Adrienne Campbell, CRAIG H MEYER · 2025 to 2026
$1.2M
HYPERPOLARIZED HELIUM-3 MRI OF THE LUNG IN ASTHMATICSR01HL066479 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI DE LANGE, EDUARD E · 2001 to 2003
$1.2M
NHLBI NIH HHS R01 HL066479NHLBI NIH HHS U01 HL178354
6 · The paper itself

Abstract

Background: Hyperpolarized gas (HPG) magnetic resonance imaging, recently FDA-approved, offers an innovative approach to evaluating gas distribution and lung function in both adults and children. Purpose: In this study, we present an algorithm for calculating maps of changes in regional ventilation in asthma, cystic fibrosis, and COPD patients before and after receiving treatment. We validate the results with a radiologist's evaluation for accuracy. Our hypothesis is that the change map would be in congruence with a radiologist's visual examination. Assessment: Nine asthmatics, six cystic fibrosis patients, and five COPD patients underwent hyperpolarized 3He MRI. N4ITK bias correction, voxel smoothing, and normalization to the signal distribution's 95th percentile voxel signal value were performed on images. For calculating regional ventilation change maps, posttreatment images were registered to baseline images, and difference maps were created. Difference-map voxel values of > 60% of the baseline mean signal value were identified as improved, and those of < -60% were identified as worsened. In addition, short-term improvement (STI) was identified where voxels improved at Timepoint 2 but returned to baseline at Timepoint 3. A grading rubric was developed for radiologist scoring that had the following assessment categories: "level of volume discrepancy" and "discrepancy causes" for each ventilation change map. Results: In 15 out of the 20 cases (75% of the data), there was a small to no volume disparity between the change map and the radiologists' visual evaluation. The rest of the two cases had moderate volume differences, and three cases had large ones. Conclusion: Our regional change maps demonstrated congruence with visual examination and may be a useful tool for clinicians evaluating ventilation changes longitudinally.

Identifiers

PMID41476445
PMCPMC12752820

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.